Conducting valid and reliable empirical research in the prevention sciences is an inherently difficult and challenging task. Chief among these is the need to obtain numerical scores of underlying theoretical constructs for use in subsequent analysis. This challenge is further exacerbated by the increasingly common need to consider multiple…

As many sciences move to be more data-intensive, some science librarians are offering more research data services and perform research data management roles. Job analyses provide insight and context to the tasks employees actually do versus what their job descriptions depict or employers assume. Two separate job analyses studies investigated the…

This paper provides commentary on the visual method of concept mapping and how it was combined with semi-structured interviews to study participants' perspectives on educational leadership. Utilizing methodological literature and the author's research, the paper outlines key characteristics of concept mapping and provides an example of how these…

Based on a statistical analysis, undergraduate business students are shown to prefer classification tree over six other standard data mining techniques. Data were collected over a 4-year period from students taking a data mining course offered at a business university in the US. The principal reason given by students for this preference is that…

Authentic participation involving jointly undertaken analysis of data and dissemination of findings is rarely evident in participatory research involving disabled people. This paper examines analysis and dissemination which offers greater participation, providing a theoretical underpinning for this approach. This conceptualization arises from…

The ubiquitous acquisition and generation of data require a reworking of curricula in introductory statistics in tertiary education. We present a renewed curriculum that focuses on scientific thinking, modeling, and simulation-based inference, utilizing R and various R tools such as shiny and learnr apps. We teach statistics from a data-centric…

Teaching software engineering (SWE) as a core computer science course (ACM, 2013) is a challenging task. The challenge lies in the emphasis on what a large-scale software means, implementing teamwork, and teaching abstraction in software design while simultaneously engaging students into reasonable coding tasks. The abstraction of the system…

Much care has been paid to reflexivity, including considering emotional sensitivities?in relation to face-to-face interviews. However, less attention has been paid to the impact of sensitivities on the process of data?analysis and the presentation of research findings. This paper focuses on?what constitutes 'the data' to be analysed, who analyses…

Reaction coordinate diagrams (RCDs) are chemical representations widely employed to visualize the thermodynamic and kinetic parameters associated with reactions. Previous research has demonstrated a host of misconceptions students adopt when interpreting the perceived information encoded in RCDs. This qualitative research study explores how…

Distance Learning has enabled educational practices based on digital platforms, generating massive amounts of data. Several initiatives use this data to identify dropout contexts, mainly providing teacher support about student behavior. Approaches such as Active Methodologies are known as having good potential to involve and motivate students.…

This research presents an integrative review about the methodological procedures adopted in the research of the Chemistry PCK, with the aim of identifying the data collection instruments used to explain the PCK in this field, seeking to observe its frequency of use and also contribute to the advancement of knowledge established by previous…

In this chapter, the author examines the extent to which community colleges invite students to share their sexual orientation and gender identity (SOGI) data, and the barriers to collecting such data. The author also underscores the important role that higher education professionals, particularly those in institutional research, can play in…

We present a case study to teach data visualization with Tableau in an introductory business analytics course. The case uses publicly available data sets from touringplans.com that record wait times for various attractions at Disney World in Orlando, Florida. In the case study, students use Tableau to clean, organize, and analyze wait time data,…

The use of multiple measures for the operationalization of subjective well-being (SWB) is highly recommended, as each approach brings exposure to different errors. To supplement the approaches proposed in the literature, the paper at hand outlines a complemental text mining technique -- sentiment detection -- which presents an efficient solution…

Background: A number of ways to conduct research are designed to maximise the likelihood that evidence from research is quickly transferred into practice. This includes action research and partnership research between researchers and policy makers. Such approaches focus research effort on questions of highest relevance to practice and policy so as…